| For: | Jiang H, Hu R, Wang YJ, Xie X. Predicting depression in patients with heart failure based on a stacking model. World J Clin Cases 2024; 12(21): 4661-4672 [PMID: 39070824 DOI: 10.12998/wjcc.v12.i21.4661] |
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| URL: | https://www.wjgnet.com/2307-8960/full/v12/i21/4661.htm |
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| 1 |
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| 2 |
Igor Mračka, Tibor Žáčik. Prediction of Depression for Inpatients with Chronic Heart Failure. Tatra Mountains Mathematical Publications 2026; 93(2) doi: 10.2478/tmmp-2026-0010
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| 3 |
Dian Zhang, Ya-nan Li, Cheng-long Li, Wan-liang Guo. Radiomics and deep learning model based on X-ray imaging for the assisted diagnosis of early Legg-Calvé-Perthes disease. BMC Musculoskeletal Disorders 2025; 26(1) doi: 10.1186/s12891-025-09189-4
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| 4 |
Lipeng Cai, Jiangrong Yan, Lu Zeng. Development and internal validation of a nomogram for identifying PHQ-9-defined depression in heart failure patients: A study based on NHANES data from 2005 to 2018. Acta Psychologica 2026; 270 doi: 10.1016/j.actpsy.2026.107771
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| 5 |
Kai-Yuan Cen, Xiang-Long Liang, Ming-Liang Zhang. Redefining psychocardiology: Integrating depression management into heart failure care for enhanced long-term recovery and prognosis. World Journal of Psychiatry 2026; 16(6): 116288 doi: 10.5498/wjp.v16.i6.116288
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